Abstract: In order to solve the scarcity of Khmer lexical labeled corpus and the lack of obvious discriminative features of Khmer named entity,a Khmer named entity recognition method using English-Khmer cross lingual features is proposed.First,the named entity category of the source language word is projected to the target language side by means of the mature English named entity recognition model and the word alignment pairs from bilingual parallel corpus.Then the nearest neighbor graph is built using the Khmer word embeddings,label propagation algorithm is used to obtain the named entity category distribution of Khmer words,and cross lingual knowledge transfer is carried out.Finally,the named entity category distribution of Khmer words is incorporated into the conditional random field model as a constraint feature.The experimental results show that the conditional random field model incorporating cross lingual features can improve the effect of named entity recognition of Khmer.